Debugging deep nets it hard. That's why we are introducing Monitor objects that let you evaluate expressions and variables from your model in real time during training and testing!

Lots of progress has been made since the initial alpha. Today, I would like to announce the new Prototype class (opendeep.models.container.Prototype) - a container to quickly assemble layers into a model. This is similar to Sequential in Torch, but provides all of the power that the Model class gives for modularity!

Welcome to the developer hub and documentation for OpenDeep! This is our alpha release, so development will be happening quickly!